Lettria

Lettria's four core modules work together to provide a complete document intelligence solution:

• Document Parsing: Extracts tables, diagrams, reading order, and multi-column layouts from complex PDFs.
• Ontology Building: Automatically generates clean, domain-specific ontologies from documents, no manual mapping required.
• Text to Graph: Converts any text into a rich knowledge graph with entities, relations, and constraints.
• GraphRAG: Combines graph retrieval with reasoning for transparent, interpretable outputs without hallucinations.

Additionally, Lettria includes Perseus, its native graph infrastructure, which offers auto-ontology building, graph building from multiple sources, and a fine-tuned model for regulated precision.

Lettria is used across regulated industries to address high-impact challenges:

• Healthcare: Medical teams achieve 60% faster evidence-based research by querying clinical trials, publications, and internal documents with answers grounded in explicit sources.
• Finance: Financial teams analyze complex financial disclosures in minutes, with reliable insights that are traceable and auditable.
• Legal: Legal teams review regulations with 40% fewer document cross-checks, using answers grounded in source documents.
• Engineering: Engineers resolve issues 3× faster with verified document intelligence from technical documents.

Lettria also supports automated ontology enrichment at scale, with customers processing over 350,000 articles and adding 10,000+ new classes.

The page does not provide specific pricing details. It mentions a Pilot Program to improve RAG accuracy by 30% and offers a demo request. For pricing information, interested users are encouraged to contact Lettria directly.